Paper Citation Record · LEDGER

Revisiting CLIP: Efficient Alignment of 3D MRI and Tabular Data using Domain-Specific Foundation Models

As of 13 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 1 inbound Pith citation observation for arXiv:2501.14051.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2501.14051 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T15:29:16.180011Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T15:29:16.097178Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-10T15:29:16.231263Z

Reference resolution

24 of 24 outbound references displayed

verified exact0
verified fuzzy14
unresolved9
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1bac9666-6fdb-43ba-9e5e-d05a09a7b6b0 · outbound

This paper cites Revisiting CLIP: Efficient Alignment of 3D MRI and Tabular Data using Domain-Specific Foundation Models.

Revisiting CLIP: Efficient Alignment of 3D MRI and Tabular Data using Domain-Specific Foundation Models Revisiting CLIP: Efficient Alignment of 3D MRI and Tabular Data using Domain-Specific Foundation Models

Reference 1

Resolution: metadata mismatch; local_arxiv, observed 2026-08-10T15:29:16.237554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d23667c6-11d6-402d-8f81-01057ae18113 · outbound

This paper cites In the following, we directly ablate the result of each design decision.

Revisiting CLIP: Efficient Alignment of 3D MRI and Tabular Data using Domain-Specific Foundation Models In the following, we directly ablate the result of each design decision

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:29:16.551854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 21783477-aab9-476b-9e89-8f93e57fd619 · outbound

This paper cites The dataset is created to study the recurrence of brain tumors after Gamma-Knife Radiother- apy.

Revisiting CLIP: Efficient Alignment of 3D MRI and Tabular Data using Domain-Specific Foundation Models The dataset is created to study the recurrence of brain tumors after Gamma-Knife Radiother- apy

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:29:16.540208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 02deec47-b90c-4956-9f99-46c46994201f · outbound

This paper cites We measure the area under the receiving operating characteristic curve (AUC).

Revisiting CLIP: Efficient Alignment of 3D MRI and Tabular Data using Domain-Specific Foundation Models We measure the area under the receiving operating characteristic curve (AUC)

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:29:16.517627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e2d04348-f9d9-43b2-996c-6e638d4e1cbb · outbound

This paper cites an unresolved cited work.

Revisiting CLIP: Efficient Alignment of 3D MRI and Tabular Data using Domain-Specific Foundation Models Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-10T15:29:16.507607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 420c1e79-ef9a-4610-b47f-a64a70106f64 · outbound

This paper cites Ethical ap- proval was not required as confirmed by the license attached with the open access data.

Revisiting CLIP: Efficient Alignment of 3D MRI and Tabular Data using Domain-Specific Foundation Models Ethical ap- proval was not required as confirmed by the license attached with the open access data

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:29:16.497946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 82f5090e-5ea6-4ccf-9bbf-cc178fa3b829 · outbound

This paper cites an unresolved cited work.

Revisiting CLIP: Efficient Alignment of 3D MRI and Tabular Data using Domain-Specific Foundation Models Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-10T15:29:16.486437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 980b53d8-04f0-4faf-9d37-c8f84dcf0fcb · outbound

This paper cites Further, we used initial temperature τ = 1.351 in the CLIP-loss and an embedding space with 512 dimensions.

Revisiting CLIP: Efficient Alignment of 3D MRI and Tabular Data using Domain-Specific Foundation Models Further, we used initial temperature τ = 1.351 in the CLIP-loss and an embedding space with 512 dimensions

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:29:16.528133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation dc2125f4-b6a3-4264-82a7-bd6f0cac9d41 · outbound

This paper cites Learning transferable vi- sual models from natural language supervision,.

Revisiting CLIP: Efficient Alignment of 3D MRI and Tabular Data using Domain-Specific Foundation Models Learning transferable vi- sual models from natural language supervision,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-10T15:29:16.128145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e77b7945-9bf0-4274-90d7-0ca2b91c00dc · outbound

This paper cites Contrastive learning of medical visual representations from paired images and text,.

Revisiting CLIP: Efficient Alignment of 3D MRI and Tabular Data using Domain-Specific Foundation Models Contrastive learning of medical visual representations from paired images and text,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:29:16.469205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 63323f6c-e46c-436e-be97-20cd6b3bddf9 · outbound

This paper cites BrainCLIP: Bridging Brain and Visual-Linguistic Representation Via CLIP for Generic Natural Visual Stimulus Decoding.

Revisiting CLIP: Efficient Alignment of 3D MRI and Tabular Data using Domain-Specific Foundation Models BrainCLIP: Bridging Brain and Visual-Linguistic Representation Via CLIP for Generic Natural Visual Stimulus Decoding

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T15:29:16.135433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 723aa3b1-1d65-4b31-b79b-24e00a13f0b4 · outbound

This paper cites Visu- alizing data using t-sne,.

Revisiting CLIP: Efficient Alignment of 3D MRI and Tabular Data using Domain-Specific Foundation Models Visu- alizing data using t-sne,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:29:16.457666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ec83ea88-2ff5-4856-90c0-0d65e03b888f · outbound

This paper cites Amaes: Augmented masked au- toencoder pretraining on public brain mri data for 3d- native segmentation,.

Revisiting CLIP: Efficient Alignment of 3D MRI and Tabular Data using Domain-Specific Foundation Models Amaes: Augmented masked au- toencoder pretraining on public brain mri data for 3d- native segmentation,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:29:16.447223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 18777e82-60f0-430f-b728-ee3bc966fee3 · outbound

This paper cites Swin transformer: Hierarchical vision transformer us- ing shifted windows,.

Revisiting CLIP: Efficient Alignment of 3D MRI and Tabular Data using Domain-Specific Foundation Models Swin transformer: Hierarchical vision transformer us- ing shifted windows,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-10T15:29:16.147519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00b1913d-f823-41e2-89bf-658bf140a825 · outbound

This paper cites Swin unetr: Swin transformers for semantic segmentation of brain tumors in mri images,.

Revisiting CLIP: Efficient Alignment of 3D MRI and Tabular Data using Domain-Specific Foundation Models Swin unetr: Swin transformers for semantic segmentation of brain tumors in mri images,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T15:29:16.150753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 582290e4-0f66-4f58-a967-37f1b7df3a2b · outbound

This paper cites Mednext: Transformer- driven scaling of convnets for medical image segmenta- tion,.

Revisiting CLIP: Efficient Alignment of 3D MRI and Tabular Data using Domain-Specific Foundation Models Mednext: Transformer- driven scaling of convnets for medical image segmenta- tion,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:29:16.423125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ffcc7c13-b722-48a7-b905-5d366c15b5db · outbound

This paper cites Deep residual learning for image recognition,.

Revisiting CLIP: Efficient Alignment of 3D MRI and Tabular Data using Domain-Specific Foundation Models Deep residual learning for image recognition,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:29:16.411808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e723c44e-09d6-4e42-8cc1-117b8fee025e · outbound

This paper cites An introduction to con- volutional neural networks,.

Revisiting CLIP: Efficient Alignment of 3D MRI and Tabular Data using Domain-Specific Foundation Models An introduction to con- volutional neural networks,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:29:16.402490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8ab68053-6ea4-48a0-b537-ed51cc9cd50e · outbound

This paper cites nnu-net revisited: A call for rigor- ous validation in 3d medical image segmentation,.

Revisiting CLIP: Efficient Alignment of 3D MRI and Tabular Data using Domain-Specific Foundation Models nnu-net revisited: A call for rigor- ous validation in 3d medical image segmentation,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:29:16.392894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 59630d8d-4c5b-4f4e-b43b-56b26493e2ed · outbound

This paper cites Yucca: A Deep Learning Framework For Medical Image Analysis.

Revisiting CLIP: Efficient Alignment of 3D MRI and Tabular Data using Domain-Specific Foundation Models Yucca: A Deep Learning Framework For Medical Image Analysis

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-10T15:29:16.166742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f97b854-fc4c-4e32-9094-cf4b51e338f6 · outbound

This paper cites Heterogeneous learning for brain lesion segmentation, detection, and classifica- tion,.

Revisiting CLIP: Efficient Alignment of 3D MRI and Tabular Data using Domain-Specific Foundation Models Heterogeneous learning for brain lesion segmentation, detection, and classifica- tion,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:29:16.382051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e188d919-1f1e-4e48-b5be-b69d9aa675ea · outbound

This paper cites Bert: Pre-training of deep bidirec- tional transformers for language understanding,.

Revisiting CLIP: Efficient Alignment of 3D MRI and Tabular Data using Domain-Specific Foundation Models Bert: Pre-training of deep bidirec- tional transformers for language understanding,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-10T15:29:16.173564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 591b30f7-2af6-4365-9034-642447cad10f · outbound

This paper cites Learning trans- ferable visual models from natural language supervi- sion,.

Revisiting CLIP: Efficient Alignment of 3D MRI and Tabular Data using Domain-Specific Foundation Models Learning trans- ferable visual models from natural language supervi- sion,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-10T15:29:16.176500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5594f95-8890-4c2a-8d7f-2440348ce05e · outbound

This paper cites A brain mri dataset and baseline evaluations for tumor recurrence prediction after gamma knife radiotherapy,.

Revisiting CLIP: Efficient Alignment of 3D MRI and Tabular Data using Domain-Specific Foundation Models A brain mri dataset and baseline evaluations for tumor recurrence prediction after gamma knife radiotherapy,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:29:16.357337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Pith citing papers

Observation 1bac9666-6fdb-43ba-9e5e-d05a09a7b6b0 · inbound